研究目的
To develop a sensitive and specific detection method for glycoproteins by simultaneously recognizing the peptide epitope and glycans of a target glycoprotein using two different types of molecularly imprinted polymers (MIPs).
研究成果
The odMIP-PISA approach provides a highly specific and sensitive method for the detection of glycoproteins by simultaneously recognizing the peptide epitope and glycans. It offers advantages over traditional methods in terms of speed, cost, and simplicity, making it promising for clinical diagnosis and other applications.
研究不足
The study notes that if one or more amino acids on the epitope is modified with post-translational modification (PTM), the imprinting of a post-translationally modified epitope is still challenging. However, such situations are less frequent, and there are options like C-terminal epitopes which are rarely post-translationally modified.
1:Experimental Design and Method Selection:
The study employs a double characteristic recognition strategy using epitope-imprinted gold nanoparticles (AuNPs)-coated slide and glycans-imprinted Raman-active silver nanoparticles.
2:Sample Selection and Data Sources:
Carcinoembryonic antigen (CEA) was used as a test glycoprotein. Human serum samples from a healthy individual and a colon cancer patient were analyzed.
3:List of Experimental Equipment and Materials:
Gold nanoparticles (AuNPs), silver nanoparticles (AgNPs), 4-formylphenylboronic acid (FPBA), and various silylating reagents were used.
4:Experimental Procedures and Operational Workflow:
The procedure involved the synthesis of epitope-imprinted arrays and glycan-imprinted Raman nanotags, optimization of imprinting conditions, selectivity tests, and real-world application tests.
5:Data Analysis Methods:
Raman spectroscopy was used for detection, with data analyzed based on the intensity of characteristic Raman peaks.
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